lets_plot.geom_segment

lets_plot.geom_segment(mapping=None, *, data=None, stat=None, position=None, show_legend=None, sampling=None, arrow=None, **other_args)

Draw a straight line segment between two points.

Parameters

  • mapping (FeatureSpec) – Set of aesthetic mappings created by aes() function. Aesthetic mappings describe the way that variables in the data are mapped to plot “aesthetics”.

  • data (dict or DataFrame) – The data to be displayed in this layer. If None, the default, the data is inherited from the plot data as specified in the call to ggplot.

  • stat (str, default=’identity’) – The statistical transformation to use on the data for this layer, as a string. Supported transformations: ‘identity’ (leaves the data unchanged), ‘count’ (counts number of points with same x-axis coordinate), ‘bin’ (counts number of points with x-axis coordinate in the same bin), ‘smooth’ (performs smoothing - linear default), ‘density’ (computes and draws kernel density estimate).

  • position (str or FeatureSpec) – Position adjustment, either as a string (‘identity’, ‘stack’, ‘dodge’, …), or the result of a call to a position adjustment function.

  • show_legend (bool, default=True) – False - do not show legend for this layer.

  • sampling (FeatureSpec) – Result of the call to the sampling_xxx() function. Value None (or ‘none’) will disable sampling for this layer.

  • arrow (FeatureSpec) – Specification for arrow head, as created by arrow() function.

  • other_args – Other arguments passed on to the layer. These are often aesthetics settings used to set an aesthetic to a fixed value, like color=’red’, fill=’blue’, size=3 or shape=21. They may also be parameters to the paired geom/stat.

Returns

Geom object specification.

Return type

LayerSpec

Note

geom_segment() draws segments.

geom_segment() understands the following aesthetics mappings:

  • x : x-axis value.

  • y : y-axis value.

  • xend : x-axis value.

  • yend : y-axis value.

  • alpha : transparency level of a layer. Understands numbers between 0 and 1.

  • color (colour) : color of a geometry lines. Can be continuous or discrete. For continuous value this will be a color gradient between two colors.

  • size : line width.

  • linetype : type of the line. Codes and names: 0 = ‘blank’, 1 = ‘solid’, 2 = ‘dashed’, 3 = ‘dotted’, 4 = ‘dotdash’, 5 = ‘longdash’, 6 = ‘twodash’.

Examples

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from lets_plot import *
LetsPlot.setup_html()
ggplot() + geom_segment(x=0, y=0, xend=1, yend=1)


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import numpy as np
from lets_plot import *
LetsPlot.setup_html()
T = 25
np.random.seed(42)
t = [0, *np.random.normal(size=T)]
x = np.cumsum(np.cos(t))
y = np.cumsum(np.sin(t))
data = {'x': x[:-1], 'y': y[:-1], 'xend': x[1:], 'yend': y[1:]}
ggplot(data, aes(x='x', y='y')) + \
    geom_segment(aes(xend='xend', yend='yend', color='xend'), \
                 arrow=arrow(type='closed', angle=10)) + \
    scale_color_gradient(low='#2c7bb6', high='#d7191c') + \
    coord_fixed()